Overcoming Barriers to Investing in Energy Efficiency
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Energy efficiency is widely viewed as one of the most effective ways to achieve multiple economic, social and environmental benefits and is at a core of making significant progress towards Sustainable Development Goals (SDGs) and the Paris Climate Agreement. This publication presents the outcome of a survey among the energy efficiency practitioners on the challenges and solutions for overcoming barriers to energy efficiency investments. The primary geographic focus is the UNECE region comprising 56 member States from Western Europe (members and non-members of the European Union), North America (Canada and the United States), South-East Europe, Eastern Europe, the Caucasus, Central Asia, Israel, Turkey and the Russian Federation. This is a joint effort by the UNECE and the Copenhagen Centre on Energy Efficiency. The analysis of the survey and its conclusions and recommendations will serve as a useful tool for energy efficiency community. Policy makers can apply the results to the situation in their countries and find approaches to improve investment climate for energy efficiency.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it